When a multilingual AI pilot underperforms, the first instinct is often to blame the model, the prompt, or the output quality. In many cases, though, the real issue starts much earlier: with how the content itself was prepared. AI does not compensate for poorly prepared content. It does not automatically fix unstable terminology, inconsistent structure, […]
Read the article
Choosing a first AI use case in localization is often harder than choosing the tool itself. Many teams start too small, running a test with little real impact. Others start too big, with a scope that is too exposed, too complex, or too sensitive. In both cases, the pilot produces limited insight. It does not […]
Read the article
A multilingual AI proof of concept rarely fails because the model cannot generate text. More often, it fails because the company is measuring the wrong things. If you only track generation speed, cost per word, or a few “before and after” examples, you end up with a showcase, not a decision framework. A serious POC […]
Read the article
Most AI pilots do not fail because the model itself “doesn’t work.” More often, they fail because the workflow is not designed to absorb the real risks of production: inconsistent quality, weak governance, no escalation rules, unclear approvals, and no mechanism for turning edits into learning. That is what real AI maturity looks like. It […]
Read the article
One of the most common misunderstandings about AI in localization is simple: if the text sounds more natural, human effort must go down. In practice, it is not that straightforward. Yes, generative models often produce more fluent output than older systems. Yes, they can speed up part of the production process. But that fluency creates […]
Read the article
For a long time, linguistic quality was treated as a final verification step. Teams created content, translated it, and then reviewed it before publishing. That model could work in slower production cycles, with limited volumes and relatively stable deliverables. That is no longer the reality. Today, teams manage serial, multimodal, and continuously updated content: product […]
Read the articleUne question sur votre projet multilingue ? Parlons-en.
Me contacter
For a long time, quality in translation and localization was assessed through a relatively simple lens: grammar, syntax, terminology, spelling, and fluency. Those criteria still matter. But they are no longer enough. In environments where content moves across product, marketing, support, legal, audiovisual, gaming, documentation, and interfaces, a more important question has emerged: does this […]
Read the article
A seasonal campaign can be perfectly written and still miss the mark. The reason is simple: in international marketing, translating a holiday or event does not guarantee that the message will feel relevant or resonate locally. National calendars, religious traditions, commercial habits, cultural sensitivities, and seasonal differences all shape how audiences respond. The same marketing […]
Read the article
For a long time, localization was treated as the final layer: design the product, write the content, then translate it. That model no longer works once a product serves multiple markets, languages, and usage contexts. The reason is simple: language is not decoration around the user experience. It is a functional part of the experience […]
Read the article
For years, translation memories, glossaries, and terminology databases were treated mainly as efficiency tools. Useful, yes, but largely operational. AI changes that. These resources are now strategic assets. In practical terms, companies that invested early in the quality of their multilingual content are discovering that those efforts now generate a new kind of return. The […]
Read the article
For a long time, linguistic data was treated as a byproduct of translation: translation memories, glossaries, a few style guides, and sometimes corpora useful for training an engine. That view is now too narrow. Today, linguistic data is taking on a different role. It is no longer valuable only as training material. It is becoming […]
Read the article
AI can produce an impressive demonstration in just a few days. A well-designed prompt, a limited set of content, and a motivated team are often enough to showcase promising results. Yet in multilingual localization, that initial success says very little about an organization’s ability to deploy the solution at scale. This is the essence of […]
Read the articleLet’s talk about your project and explore how I can help you to succeed on the global market.
